Build Your Own Combat Robot

Author: Pete Miles & Tom Carroll
Publisher: McGraw-Hill Osborne, 2002
Pages: 416
ISBN: 978-0072194647
Aimed at: Robot enthusiasts
Rating: 4
Pros: Clear, practical instructions, highly motivating
Cons: Not new, supplier details may have changed
Reviewed by: Harry Fairhead

A practical book with details of how to build things rather than a glossy coffee table book of pictures of robots damaging other robots.

Author: Pete Miles & Tom Carroll
Publisher: McGraw-Hill Osborne, 2002
Pages: 416
ISBN: 978-0072194647
Aimed at: Robot enthusiasts
Rating: 4
Pros: Clear, practical instgructiopns, highly motivating
Cons: Not a new book so supplier details may have changed
Reviewed by: Harry Fairhead

I've only recently come across this book - and if you too are enthusiastic about robots and also missed it when initially published you'll be pleased to hear about it. True to the title it is a book about building robots. There isn't much more to add except to reassure you that this is a practical book with details of how to build things rather than a glossy coffee table book of pictures of robots damaging other robots. There are some nice colour pictures though!

The descriptions include simple maths showing you how to work out torques and gear ratios but it's all presented with a clarity that makes you want to build something! My only criticisms are that it's a bit weak on clever electronics and programming and the list of suppliers is US-only. It is also debatable how much use it would be to an experienced robot builder. It's not really an advanced book but there are so many hints, tips, examples and basic theory that you might well find it focuses your mind on your current robotic problem.

This would make a great source book for coursework projects and every school library should have a copy. If you have been thinking of playing with robots then this is a good place to start – even if you never get round to building anything you will enjoy reading it.

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Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?



Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
A book on deep learning wtihout an equation in sight?


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Last Updated ( Thursday, 20 May 2010 )